Description Details Author(s) References Examples
A variety of association tests for microbiome data analysis described in Tang Z.-Z. et al.(2017) <doi: 10.1093/bioinformatics/btw804> and Tang Z.-Z. & Chen G. (2017) <Submitted>. miLineage allows users to (a) perform tests on multivariate taxon counts; (b) localize the covariate-associated lineages on the taxonomic tree; and (c) assess the overall association of the microbial community with the covariate of interest.
Package: | miLineage |
Type: | Package |
Version: | 2.1 |
Date: | 2018-03-09 |
License: | GPL (>=2) |
QCAT, QCAT_GEE, ZIGDM
Zheng-Zheng Tang
Maintainer: Zheng-Zheng Tang <tang@biostat.wisc.edu>
1. Tang, Z.-Z., Chen, G., Alekseyenko, A. V., and Li, H. (2017). A General Framework for Association Analysis of Microbial Communities on a Taxonomic Tree. Bioinformatics, 33(9), 1278-1285.
2. Tang, Z.-Z. and Chen, G. (2017). Zero-Inflated Generalized Dirichlet Multinomial Regression Model for Microbiome Compositional Data Analysis. Submitted.
1 2 3 4 5 6 7 8 9 10 11 | data(data.toy)
OTU.toy = data.toy$OTU.toy
Tax.toy = data.toy$Tax.toy
case = data.toy$covariate.toy
# the OTUs should be consistent between the OTU table and the taxonomy table
OTU.toy.reorder = OTU.toy[,match(rownames(Tax.toy), colnames(OTU.toy))]
# perform QCAT test for detecting differential mean
QCAT(OTU.toy.reorder, case, 1, Tax.toy, fdr.alpha=0.05)
# perform ZIGDM test for detecting differential dispersion
ZIGDM(OTU.toy.reorder, NULL, NULL, case, test.type = "Disp", 1,
ZI.LB = 10, Tax.toy, fdr.alpha = 0.05)
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